code: def test_inference_steps(self):
      # Hardcoded for now
      for t, num_inference_steps in zip(
          [99, 39, 39, 19], [10, 25, 26, 50]
      ):
          self.check_over_forward(
              time_step=t, num_inference_steps=num_inference_steps
          )
  
imports: import tempfile
  from typing import Dict, List, Tuple
  import torch
  from diffusers import LCMScheduler
  from diffusers.utils.testing_utils import torch_device
  from .test_schedulers import SchedulerCommonTest
label_desc: Use image node_id 10 for calling the LCMSchedulerTest obj's underlying member method code with example usage: obj.test_inference_steps() without return types